Systems and methods for synthesizing a diamond using machine learning

A system for synthesizing a diamond using a diamond synthesis machine, the system comprising:

• a processor configured to execute instructions stored on a non-transitory computer-readable medium to:
• receive a plurality of images of a diamond during synthesis within a diamond synthesis machine, each of the plurality of images captured within a time period;
• execute a diamond state prediction machine learning model using the plurality of images to obtain a predicted data object, the predicted data object indicating a predicted state of the diamond within the diamond synthesis machine at a time subsequent to the time period;
• detect a predicted defect in the diamond based on the predicted state of the diamond;
• and
• adjust operation of the diamond synthesis machine responsive to detecting the defect.

A method for evaluating features of a future state of a diamond during synthesis, comprising:

• receiving, by a processor, a plurality of images of a diamond during synthesis within a diamond synthesis machine, each of the plurality of images captured within a time period;
• executing, by the processor, a diamond state prediction machine learning model using the plurality of images to obtain a predicted data object, the predicted data object indicating a predicted state of the diamond within the diamond synthesis machine at a time subsequent to the time period,
• wherein the diamond state prediction machine learning model is trained based on a chronological series of images corresponding to a set of images of previously synthesized diamonds;
• detecting, by the processor, a predicted defect in the diamond based on the predicted state of the diamond;
• and
• responsive to detecting the defect, transmitting, by the processor, a signal to a second processor, the signal comprising an indication of the detected defect.